// IoT-02_IMU_Classify_by_text.ino
// https://eloquentarduino.com/gesture-classification/
#include <Adafruit_MPU6050.h>
#include <Adafruit_Sensor.h>
#include <Wire.h>
#include "Pipeline.h"
#include "Classifier.h"
#define FREQUENCY_HZ 60
#define INTERVAL_MS (1000 / (FREQUENCY_HZ + 1))
// objeto da classe Adafruit_MPU6050
Adafruit_MPU6050 mpu;
static unsigned long last_interval_ms = 0;
void setup() {
Serial.begin(115200);
Serial.println(__FILE__);
// Try to initialize!
if (!mpu.begin()) { // if (!mpu.begin(0x68))
Serial.println("Failed to find MPU6050 chip");
while (1) {
delay(10);
}
}
Serial.println("MPU6050 Found!");
mpu.setAccelerometerRange(MPU6050_RANGE_8_G);
Serial.print("Accelerometer range set to: ");
switch (mpu.getAccelerometerRange()) {
case MPU6050_RANGE_2_G:
Serial.println("+-2G");
break;
case MPU6050_RANGE_4_G:
Serial.println("+-4G");
break;
case MPU6050_RANGE_8_G:
Serial.println("+-8G");
break;
case MPU6050_RANGE_16_G:
Serial.println("+-16G");
break;
}
mpu.setGyroRange(MPU6050_RANGE_500_DEG);
Serial.print("Gyro range set to: ");
switch (mpu.getGyroRange()) {
case MPU6050_RANGE_250_DEG:
Serial.println("+- 250 deg/s");
break;
case MPU6050_RANGE_500_DEG:
Serial.println("+- 500 deg/s");
break;
case MPU6050_RANGE_1000_DEG:
Serial.println("+- 1000 deg/s");
break;
case MPU6050_RANGE_2000_DEG:
Serial.println("+- 2000 deg/s");
break;
}
mpu.setFilterBandwidth(MPU6050_BAND_21_HZ);
Serial.print("Filter bandwidth set to: ");
switch (mpu.getFilterBandwidth()) {
case MPU6050_BAND_260_HZ:
Serial.println("260 Hz");
break;
case MPU6050_BAND_184_HZ:
Serial.println("184 Hz");
break;
case MPU6050_BAND_94_HZ:
Serial.println("94 Hz");
break;
case MPU6050_BAND_44_HZ:
Serial.println("44 Hz");
break;
case MPU6050_BAND_21_HZ:
Serial.println("21 Hz");
break;
case MPU6050_BAND_10_HZ:
Serial.println("10 Hz");
break;
case MPU6050_BAND_5_HZ:
Serial.println("5 Hz");
break;
}
Serial.println("");
delay(100);}
void loop() {
float ax, ay, az, gx, gy, gz;
sensors_event_t a, g, temp;
if (millis() > last_interval_ms + INTERVAL_MS) {
last_interval_ms = millis();
mpu.getEvent(&a, &g, &temp);
ax = a.acceleration.x;
ay = a.acceleration.y;
az = a.acceleration.z;
gx = g.gyro.x;
gy = g.gyro.y;
gz = g.gyro.z;
// perform feature extraction
float features[] = {ax, ay, az, gx, gy, gz};
if (!pipeline.transform(features))
return;
// perform classification
Serial.print("Predicted gesture: ");
Serial.print(forest.predictLabel(pipeline.X));
Serial.print(" (DSP: ");
Serial.print(pipeline.latencyInMicros());
Serial.print(" micros, Classifier: ");
Serial.print(forest.latencyInMicros());
Serial.println(" micros)");
Serial.println();
}else{
delay(5);
}
}